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--- |
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tags: |
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- bertopic |
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library_name: bertopic |
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pipeline_tag: text-classification |
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--- |
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# open-hdscan-april3 |
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This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model. |
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BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets. |
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## Usage |
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To use this model, please install BERTopic: |
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``` |
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pip install -U bertopic |
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``` |
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You can use the model as follows: |
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```python |
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from bertopic import BERTopic |
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topic_model = BERTopic.load("Thang203/open-hdscan-april3") |
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topic_model.get_topic_info() |
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``` |
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## Topic overview |
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* Number of topics: 11 |
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* Number of training documents: 2779 |
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<details> |
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<summary>Click here for an overview of all topics.</summary> |
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| Topic ID | Topic Keywords | Topic Frequency | Label | |
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|----------|----------------|-----------------|-------| |
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| -1 | models - language - model - llms - language models | 11 | -1_models_language_model_llms | |
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| 0 | models - language - model - language models - llms | 792 | 0_models_language_model_language models | |
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| 1 | code - models - llms - language - language models | 1082 | 1_code_models_llms_language | |
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| 2 | models - quantization - model - training - language | 311 | 2_models_quantization_model_training | |
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| 3 | models - bias - text - language - biases | 297 | 3_models_bias_text_language | |
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| 4 | brain - models - language - heads - attention | 152 | 4_brain_models_language_heads | |
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| 5 | hallucinations - hallucination - models - visual - large | 34 | 5_hallucinations_hallucination_models_visual | |
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| 6 | music - audio - poetry - generation - model | 31 | 6_music_audio_poetry_generation | |
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| 7 | financial - analysis - sentiment - investment - large | 30 | 7_financial_analysis_sentiment_investment | |
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| 8 | editing - knowledge - model editing - editing methods - edit | 25 | 8_editing_knowledge_model editing_editing methods | |
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| 9 | materials - molecular - chemical - chemistry - materials science | 14 | 9_materials_molecular_chemical_chemistry | |
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</details> |
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## Training hyperparameters |
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* calculate_probabilities: False |
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* language: english |
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* low_memory: False |
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* min_topic_size: 10 |
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* n_gram_range: (1, 1) |
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* nr_topics: 11 |
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* seed_topic_list: None |
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* top_n_words: 10 |
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* verbose: True |
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* zeroshot_min_similarity: 0.7 |
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* zeroshot_topic_list: None |
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## Framework versions |
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* Numpy: 1.25.2 |
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* HDBSCAN: 0.8.33 |
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* UMAP: 0.5.6 |
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* Pandas: 2.0.3 |
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* Scikit-Learn: 1.2.2 |
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* Sentence-transformers: 2.6.1 |
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* Transformers: 4.38.2 |
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* Numba: 0.58.1 |
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* Plotly: 5.15.0 |
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* Python: 3.10.12 |
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